Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures

Wei Liu, Danilo P. Mandic, Andrzej Cichocki

Research output: Journal article publicationJournal articleAcademic researchpeer-review

46 Citations (Scopus)

Abstract

The problem of blind source extraction (BSE) for noisy measurements is addressed in the domain of second-order statistics using the linear predictor method. By extending the results from the noise-free case, two methods for the noisy case are proposed, whereby, for rigor, the effect of noise is removed from the cost function. The so introduced algorithms are based, respectively, on the minimization of the normalized mean square prediction error (MSPE), and the minimization of MPSE. The analysis of the derived BSE algorithms is supported by simulations.

Original languageEnglish
Pages (from-to)931-935
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume53
Issue number9
DOIs
Publication statusPublished - Sept 2006

Keywords

  • Additive noise
  • blind source extraction (BSE)
  • line learning
  • on
  • second-order statistics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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